{"paper":{"title":"Smart Contract Security Beyond Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Smart contract security is expanding beyond vulnerability detection into semantics, repair, adversarial learning and real-time monitoring.","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Tamer Abdelaziz","submitted_at":"2026-05-09T19:15:49Z","abstract_excerpt":"Smart contract security has progressed from vulnerability detection toward a broader research agenda that includes semantic reasoning, automated repair, adversarial robustness, and real-time exploit detection. This paper develops a capstone-oriented research narrative around four directions: foundation-model-based smart contract semantics and vulnerability reasoning [1], automated smart contract repair with formal guarantees [2], adversarial learning for robust malicious contract and transaction detection [3], and real-time transaction-level exploit detection at blockchain scale [4]. We connec"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"This paper develops a capstone-oriented research narrative around four directions: foundation-model-based smart contract semantics and vulnerability reasoning, automated smart contract repair with formal guarantees, adversarial learning for robust malicious contract and transaction detection, and real-time transaction-level exploit detection at blockchain scale.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That synthesizing these four directions with the two cited studies will produce technically grounded, empirically measurable capstone projects that advance the field.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"The paper presents a capstone-oriented framework connecting four research directions in smart contract security to two recent frontier studies.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Smart contract security is expanding beyond vulnerability detection into semantics, repair, adversarial learning and real-time monitoring.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"7e24ce0cff86f4b8e920226338009dffaf9e1210d4fb9b59c33d359b6d0b6475"},"source":{"id":"2605.09124","kind":"arxiv","version":2},"verdict":{"id":"a510d075-0d50-4af4-ba61-21424ac07d4e","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-12T02:28:03.097475Z","strongest_claim":"This paper develops a capstone-oriented research narrative around four directions: foundation-model-based smart contract semantics and vulnerability reasoning, automated smart contract repair with formal guarantees, adversarial learning for robust malicious contract and transaction detection, and real-time transaction-level exploit detection at blockchain scale.","one_line_summary":"The paper presents a capstone-oriented framework connecting four research directions in smart contract security to two recent frontier studies.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That synthesizing these four directions with the two cited studies will produce technically grounded, empirically measurable capstone projects that advance the field.","pith_extraction_headline":"Smart contract security is expanding beyond vulnerability detection into semantics, repair, adversarial learning and real-time monitoring."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.09124/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T20:37:36.585377Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_title_agreement","ran_at":"2026-05-19T13:31:18.775572Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T10:30:25.211190Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"a84139ce1870bee9d880264ff7bae607a72f00dcd5e8792cb100e1c0167ba149"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}